The impact of intelligent audio plugins on TV sound quality
Sandström, Daniel (2023)
Sandström, Daniel
2023
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2023122138922
https://urn.fi/URN:NBN:fi:amk-2023122138922
Tiivistelmä
The purpose of this study was to give audio engineers working in TV post-production knowledge on how and when to utilize intelligent audio plugins to improve sound quality. I became interested in this topic while working for a sound company, and seeing how often intelligent plugins, especially iZotope RX plugins to which this research was limited, are used to process audio signals. As research methodology I chose to utilize qualitative inter viewing, and interviewed Henry Keinälä, an audio engineer and head of post-production at Fortress Soundworks, a Finnish sound company. My findings are partly in line with my hypothesis, that machine learning components of intelligent plugins process higher quality audio compared to older, static, versions of these plugins. But greater potential for higher sound quality can be found from intelligent plugins freeing up audio engineers from tedious tasks to focus on other quality improving aspects of post-production. Ear fatigue and decision fatigue is a large consideration when looking at an audio engineer’s potential for high quality mixing and mastering, and intelligent plugins lower these factors.